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Objective To explore the construction idea and application method of knowledge base and knowledge mining system for the prevention and treatment of diseases in traditional Chinese medicine.Methods Guided by the theory of traditional Chinese medicine(TCM),firstly,the knowledge system of TCM Prevention and treatment was sorted out,and the structure and relationship of TCM Prevention and treatment knowledge base were designed according to the classification method of TCM Prevention and treatment;Secondly,according to the needs of pre treatment research,the ancient and modern literature data sources and knowledge collection methods of TCM pre treatment database are proposed;Then,under the framework of the pre treatment classification system,the core knowledge is studied in the aspects of professional annotation,relationship extraction,knowledge audit,and a variety of data mining algorithms are introduced to analyze and mine the knowledge;Finally,the massive data obtained are combined with big data analysis and computer machine learning to realize intelligent information collection,disease analysis and diagnosis and treatment suggestions.Results Under the guidance of traditional Chinese medicine theory,the knowledge base of traditional Chinese medicine for prevention and treatment of diseases can digitize,digitize and intellectualize the basic knowledge and clinical knowledge of traditional Chinese medicine for prevention and treatment of diseases,and can objectively mine and analyze the data,providing a basis for the service and sharing of knowledge of traditional Chinese medicine for prevention and treatment of diseases.Conclusion The knowledge base of TCM Prevention and treatment is an important way for the digital storage of TCM Prevention and treatment knowledge,and provides literature knowledge support and objective evidence of data mining for TCM Prevention and treatment research.
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From the perspectives of traditional Chinese medicine （TCM） information knowledge base and assisted decision-making knowledge base， the construction status， quality evaluation status and existing problems of current TCM knowledge bases have been sorted out. And based on the quality evaluation strategies and dimensions of know-ledge bases in other disciplines， the evaluation indexes for TCM knowledge base is discussed， and the evaluation framework is initially formed， providing ideas for the improvement of the TCM knowledge base evaluation system. In terms of the evaluation indexes， there are basic evaluation dimensions which include data sources， data collection， and data application. The specific evaluation dimension of the information-based knowledge base is data quality， while that of the assisted decision-making knowledge base is data matching. Except for the data application dimension which counts the valid data items in the database for calculation， other indexes are scored based on the qualitative evaluation of "yes"， "no" or "unknown". The basic evaluation score and the specific evaluation score are added to obtain the total score. The knowledge base is graded according to the score， and the results are presented in the form of grade plus number.
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Purpose/Significance Through the establishment of a quality control system for electronic medical record(EMR)con-tent,the standardization and normalization of medical record writing is realized,and the quality of hospital medical record is improved.Method/Process The intelligent medical data center is built based on hospital medical data,and the knowledge base and rule base with tumor specialty characteristics are formed by combining natural language processing(NLP)and machine learning technology.The new quality control mode of"pre-audit,comprehensive coverage,process supervision and closed-loop management"of EMR is realized.Result/Conclusion After the application of the medical record quality control system based on NLP,the quality control coverage rate in-creased from 1%to 100%,and the rate of class A medical records increased to more than 96%,with good real-time and accuracy,providing a solid information foundation for the high-quality development of hospital medical records.
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Objective At present,the knowledge base of ancient books of traditional Chinese medicine has many problems,such as the lack of high-performance information processing model and efficient knowledge representation method,non-standard terms,resource sharing system has not been established,leading to the low efficiency of the knowledge base,be unable to fully and effectively explore and utilize knowledge.This study comprehensively investigated the internal and external environment of traditional Chinese medicine books knowledge base construction,and put forward countermeasures.Methods Based on the SWOT-PEST model,this study deeply analyzes the strengths and weaknesses of the construction of knowledge base of ancient books of traditional Chinese medicine,and sorts out the external opportunities and threats of its development from political,economic,social and technological dimensions.Result It proposes strategies such as giving full play to the role of policies,drawing lessons from successful experiences,promoting joint construction of disciplines,expanding publicity,carrying out precise services,raising funds from various sources,reforming and cultivating talents,establishing unified standards,perfecting updating mechanism,supplementing quality evaluation,improving infrastructure,optimizing performance model,and strengthening technological innovation.Conclusion This paper provides effective tools and construction strategies to realize the aggregation,mining and activation of knowledge of ancient books of TCM,enhance the depth of the creative transformation of ancient books,and promote the inheritance and academic innovation of traditional Chinese medicine.
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Purpose/Significance To elucidate the complex relationship among face phenotype-disease-gene,and to explore the underlying mechanisms of their interactions.Method/Process Based on scientific literature from the PubMed database,natural language processing tools and manual filtering methods are used to extract the knowledge of the concept and relationship of face phenotype-disease-gene reported in the existing literature,and a knowledge base is constructed.Result/Conclusion The study completes the framework design and construction of the knowledge base of the face phenotype-disease-genotype for intelligent health application,which lays a foundation of both data and theory for exploring the interplay between face phenotype-disease-gene,as well as the potential application of face phenotype in disease diagnosis.
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Objective:To build the standardized knowledge base for hierarchical prevention care of neonatal hypoglycemia based on the risk prediction model of neonatal hypoglycemia, and to provide a decision-making basis for risk management to achieve predicitive neonatal hypoglycemia.Methods:Based on the best evidence summarized in strategies for the prevention and management of neonatal hypoglycemia published in 2020, evidence on the prevention and management of neonatal hypoglycemia was searched from BMJ Best Practice, UpToDate, Registered Nurses Association of Ontario, CNKI and other domestic and foreign databases and professional association websites. The retrieval period was from September 1, 2019 to August 31, 2022. The quality of newly included literature was evaluated, new evidence was extracted, and the best evidence in the prevention and management strategy of neonatal hypoglycemia published in 2020 was summarized and combined to form the first draft of the knowledge base. Experts in the field of neonatal nursing were invited to revise and discuss each item of the knowledge base, and the final draft of the knowledge base was formed. The final draft of the knowledge base was coded using the 2.5 version of the Clinical care classification system as the standardized language.Results:The risk prediction model of neonatal hypoglycemia was used as a grading tool, the final draft of the knowledge included 1 nursing diagnosis, 6 modules and 18 specific preventive nursing measures.Conclusions:The knowledge base for hierarchical prevention care of neonatal hypoglycemia based on risk prediction model can realize the prospective hierarchical nursing of neonatal hypoglycemia, which is scientific and practical, and is the basis to assist nurses to make clinical decisions.
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Objective:To construct the knowledge base of Tibetan medicine prescriptions and explore to standardize the names of Tibetan medicine prescriptions. Method:By using the concept of "man-machine combination"，through the construction of Tibetan medicine terminology glossary （data sources： national drug standards，local drug standards，text classics on Tibetan medicines，etc.），the terminology glossary of Tibetan medicine prescriptions was mined. Upon its combination with expert review，the text association between Tibetan medicine prescriptions and various drug standards and dictionaries was constructed，and the standardization methods and techniques of prescription drug names were explored. Result:In this paper，the Tibetan medicine prescriptions approved for marketing in China were taken as the research object，and various inconveniences caused by the inconsistency between the names of prescriptions and the names of medicinal herbs were revealed. This paper also discussed the design ideas on name standardization of Tibetan medicines from three levels： text association，optimization of evaluation methods，and formation of expert decision-making system. We put forward a five-in-one （screening， evaluation， reviewing， fixing， and renewing） research model of Tibetan medicine name standardization. The construction，functions and advantages of the database and thesaurus of Tibetan medicine prescriptions were described in detail， and in combination with the text notes， association between the standard medicinal materials and the prepared prescriptions was then established. Conclusion:The text association method in this paper can accurately reflect the nonstandard names of Tibetan medicine prescriptions. Combined with expert review，it can be， to a certain extent， extended to the standardization of herb names in prescriptions with large scale of or more complex network structures.
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The construction of medical knowledge platform is a core value of the intelligent construction of electronic medical records. The hospital-wide knowledge base construction covers a wide range of content, including multiple healthcare scenarios such as medicine, testing, inspection, surgery, blood transfusion and nursing. This article introduced how Jiangsu Province People′s Hospital used knowledge graphs and rule engine to construct a hospital knowledge management platform, realize the integration of knowledge-based knowledge base and a non-knowledge-based knowledge base, and embed clinical diagnosis and treatment rules into the information system for different flexible application scenarios.Finally, a multi-dimensional knowledge base was formed to realize the unified knowledge information integration of various clinical expert knowledge, and to provide integrated display and decision support for all departments, as well as realizing real-time data verification, prompting and control in each link.
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ABSTRACT From 1980s to 1990s, the Brazilian Physical Education (BPE) was strongly influenced by the discussion concerning its identity as an academic discipline; the final period of the Brazilian military dictatorship; the regulation of the BPE as a profession. Hence, this study analyzed the influence of that epistemological and political setting on the curricula of three BPE undergraduate courses. The Political Pedagogic Project and the Curriculum Matrix of the three undergraduate courses, from public universities, were analyzed using two qualitative research techniques: body of knowledge analysis, and content analysis. The results showed that the curricula analyzed did not cover a definition of professional intervention procedures based on ethical conduct specific to the area. Furthermore, the knowledge basis of the curricula is mainly constituted by discipline knowledge, which contributes to distancing the student's training from their field of professional practice . These findings may be associated with the insufficient epistemological discussion early initiated by Henry's works and unclear definition if the BPE is an academic or professional area. This investigation suggests that political disputes related to professionalization of BPE overlapped the academic discussions, which might have contributed to the problems identified on the preparation through bachelor courses of physical education professionals.
RESUMO De 1980 a 1990, a Educação Física Brasileira (EFB) foi fortemente influenciada pela discussão sobre sua identidade como disciplina acadêmica; pelo período final da ditadura militar; e pela regulamentação da EFB como profissão. Assim, este estudo analisou a influência dessa configuração epistemológica e política sobre o currículo de três cursos de graduação em Educação Física (EF) no Brasil. O Projeto Político Pedagógico e a Matriz Curricular dos três cursos, de universidades públicas, foram analisados utilizando duas técnicas de pesquisa qualitativa: análise do corpo de conhecimento e análise de conteúdo. Os resultados mostraram que todos os currículos analisados não apresentaram uma definição clara dos procedimentos de intervenção profissional baseados em condutas éticas específicas da área. Além disso, a base de conhecimento dos currículos é principalmente constituída pelo conhecimento acadêmico, contribuindo para o distanciamento da formação do graduando com o campo de atuação profissional. Essas descobertas podem estar associadas à insuficiente discussão epistemológica que foi iniciada pelos trabalhos de Henry e a não definição se a EFB é uma área acadêmica ou profissional. Esta investigação sugere que as disputas políticas relacionadas à profissionalização da EFB se sobrepuseram às discussões acadêmicas, o que pode ter contribuído para os problemas identificados na formação do tipo bacharelado dos profissionais de EF.
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Educación y Entrenamiento Físico/historia , Curriculum , Competencia Profesional , Práctica Profesional/ética , Apoyo a la Formación Profesional/ética , Conocimiento , Evaluación Educacional , Política de Educación Superior , Dominios Científicos , Ética Profesional/educación , Docentes/educación , Rendimiento AcadémicoRESUMEN
OBJECTIVE： To provide technical and practical basis for data-driven pharmaceutical management model. METHODS： The information of drug attribute classification and the way of network acquisition were studied， and the construction of drug attribute classification knowledge base was realized by using network crawler technology. On this basis， by using NLP technology and regular expression matching technology， the information of the dictionary table of medicines in HIS and the drug name， specifications and manufacturers in the drug attribute classification knowledge base were compared one by one. The correspondence of drug codes between “HIS database” and “drug attribute classification knowledge base” was realized. Finally， drug attribute classification knowledge base can be used to practice drug use analysis in medical institutions. RESULTS： Established drug attribute classification knowledge base can rapidly and accurately analyze the use of antibiotics， evaluate the reasonability of drug procurement and screen unreasonable drug use case rapidly. “Medical Institution Pharmaceutical Management Analysis and Decision-Making System” was established by using knowledge base of drug attribute classification and control technology. All prescription reviews had been realized with this system， and the main problems of irrational drug use in clinic， such as over-dose， over-course of treatment， combined use of main drugs with the same function and over-indication drug use could be solved. Through the practice and application of the prescription comment model， the above problems in our hospital’s prescription comment were almost nonexistent. Antibacterial use indicators were also in line with national requirements. CONCLUSIONS： It is beneficial to the information construction of pharmacy administration by linking actual use of drugs in medical institutions with drug-related knowledge base through modern information technology and taking the actual use of drugs in medical institutions as the object of analysis. In the future， it is necessary to build knowledge bases for different purposes and types based on the requirements of pharmaceutical administration. It lays a foundation for the practice of data-driven pharmaceutical administration.
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OBJECTIVE： To promote the implementation of the pre-prescription review work， and to ensure the rational drug use of patients. METHODS： With the idea of PDCA （Plan， Do， Check， Action） cycle management， the phased improvement of three PDCA cycles was gradually implemented in the operation of the pre-prescription review system， aiming at the establishment of the working mode of the prescription review work， the improvement of the rules of knowledge base in the review system and the improvement of the ability of pharmacists to review prescriptions. The operation results of the system were evaluated by comparing the irrational prescription rate of outpatient pharmacies before and after the operation of pre-prescription review system. RESULTS： Through adopting the prescription review mode of “rigid” and “flexible” interception， regular revision of knowledge base rules， regular training and examination of prescription pharmacists， pre-prescription review system operated smoothly， and the pre-prescription review work was carried out in the process of continuous improvement. In the three PDCA cycles， the irrational rate of prescriptions decreased significantly， such as after the first PDCA cycle， the irrational rate of TCM outpatient prescriptions decreased from 22.0％ （1 393/6 332） in Jan. 2017 to 7.4％ （416/5 627） in Jun. 2017； after the second PDCA cycle， the irrational rate of outpatient prescriptions in hospital decreased from 4.87％ （5 244/107 691） in Mar. 2018 to 2.21％ （2 219/100 412） in Aug. 2018. After the third PDCA cycle， the percentage of over-treatment course prescriptions in total prescriptions decreased from 16.97％ （15 728/92 684） in Jun. 2018 to 5.55％ （5 394/97 275） in Sept. 2018. CONCLUSIONS： The pre-prescription review system can effectively intercept and interfere with irrational prescriptions， and PDCA cycle management can effectively promote the operation of the pre-prescription review work.
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Objective: To fulfill the TCM (traditional Chinese medicine) health management needs of female through constructing the intervention knowledge base, explore the long-term development mechanism of intervention knowledge base. Methods: The structure of female TCM Health Intervention Knowledge was designed base according to the characteristics of TCM health status of females. The inferential mechanism by studying the relation between the female health status and the diet therapy scheme was explored based on syndrome differentiation. A Long-term development mechanism of TCM health intervention knowledge database was designed based on big data and effect feedback mechanism. Results: The classification standard of the TCM Health Intervention Knowledge base of female includes the state of the viscera functions, qi and blood, yin and yang, and pathogenic properties of the body under the illness and health condition. The dietary therapy formula inference engine can provide food material according to the region, natures, function of tonifying, evil eliminating, to match the female health status, and constantly adjusting and improving the Intervention plan according to the feedback. Conclusion: The study proves the construction plan of TCM Health Intervention Knowledge base of female is able to meet the needs of female TCM health management intervention, and the method of constantly adjusting and improving the intervention plan according to the feedback helps to realize the precise recommendation and long-term development of intervention knowledge base.
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A laboratory animal expert consultation system provides an interactive platform for industry experts and users. Based on intelligent mobile terminal used as the application supporter, the platform combines the internet with laboratory animal to share the experts' knowledge, breaks through temporal and spatial restrictions, and resolves other problems such as poor timeliness of inquire service, knowledge data staticization, and irrational exploitation of internet to gain prompt inquire service. The platform would meet the needs of industry users for real-time aids and bridge the gap between industry experts and users. Thus, the transfer of expert' knowledge is realized in pace with the increasing knowledge resource of this platform to accelerate the transformation of theoretical knowledge into the industry. Our study focuses on the system characteristics, the main frame structure, the design of function module and the system implementation.
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Taking Physician Data Query (PDQ(R)),which is provided for doctors and patients by National Cancer Institute (NCI),for example,the paper carries out comparative analysis on professional and public editions of PDQ from the perspective of vocabulary and syntax to make clear the significant statistical difference between the knowledge bases facing patients and doctors.
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The paper introduces domestic and overseas current situation of ontology knowledge base,expounds on the buiding method,instrument and specific realization of ontology knowledge base of maternal intelligent interrogation,poins out that the knowledge base is able to provide pregnant women and puerperants with customized diagnosis and treatment service and thus further promotes the application of "Internet + Medical" in the field of maternal and child healthcare.
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The paper investigates 31 foreign representative clinical knowledge base,analyzes development status including the establishment and maintenance institutions,user version control,localization application,clinical evidence resources,clinical specific content representation,evidence quality evaluation criteria and so on,summarizes revelation for domestic clinical knowledge base construction.
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Around the ontology construction,diagnosis rule construction,ontology inference mechanism and so on in the process of ontology-based construction of medical knowledge base,the paper states respectively the involved key technologies and methods in each link,lists the examples of the construction of the domain knowledge base through relevant technologies,explores the best method of constructing the medical domain knowledge base.
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Taking Web of Science database as the data source,the paper visually analyzes the literatures about medical knowledge data using the visualization software,such as Citespace,SATI and Ucinet,reveals the research power,core journals,core authors,situation of the literature referred and hot topics in this field.
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Objective:To develop the intelligent management system for diabetes medication knowledge base with the help of community hospital information platform.Methods:Based on the China Type 2 Diabetes Prevention Guide (2013 edition),National Essential Drugs (2012 edition) and the relevant package inserts,the knowledge base of diabetes medication was established.Results:The information platform could make interception beforehand,warning in the process of medication and provide attentions for physicians after treatment to determine rational medication.Conclusion:The intelligent management system for diabetes medication knowledge base can promote physicians to firmly grasp the principles of drug treatment,simplify treatment regimen,select effective drugs with reasonable prices and provide individualized treatment.
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Objective To investigate the knowledge base and research focuses of stroke rehabilitation via a bibliometrical approach. Methods We searched the Web of Science and identified a total of 5 253 entries on stroke rehabilitation which were published from 2010 to 2015, The literature amount, country distribution, highly cited literature, and high frequency keywords of the 6 years literatures were recorded, and the retrieved literatures were then subjected Cite Space visualization software analysis to draw the co-citation network clustering map and keyword co-occurrence graph. The basics and research focuses of stroke rehabilitation were analyzed. Results The publications on stroke rehabilitation increased year by year during 2010-2015. The United States, South Korea and Australia were the major countries for stroke rehabilitation research; and the literatures of China had a great increase. The highly cited articles of stroke rehabilitation mainly involved researches about Fug-Meyer scale, MMSE scale, modified Ashworth scale and Barthel index rating scale and dysfunction recovery. High frequency keyword analysis showed that the researches mainly focused hemiplegia dysfunction in stroke rehabilitation and new techniques and ideas represented by optimized constraint-induced movement therapy and transcranial magnetic stimulation. Conclusion Researches on stroke rehabilitation is in a period of vigorous development, and increasingly more emphasis has been put on stroke rehabilitation research. The highly cited literatures and high frequency keywords can reflect the knowledge base and research focus of stroke rehabilitation, which can be used for further related research.